OutliersLearn

Provides implementations of some of the most important outlier detection algorithms. Includes a tutorial mode option that shows a description of each algorithm and provides a step-by-step execution explanation of how it identifies outliers from the given data with the specified input parameters. References include the works of Azzedine Boukerche, Lining Zheng, and Omar Alfandi (2020) doi:10.1145/3381028, Abir Smiti (2020) doi:10.1016/j.cosrev.2020.100306, and Xiaogang Su, Chih-Ling Tsai (2011) doi:10.1002/widm.19.

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